ST-GAGCN-LEO: A Spatiotemporal Graph Attention and Gated Convolutional Network for LEO Satellite Traffic Prediction

IF 5.1 2区计算机科学 Q1 ENGINEERING, AEROSPACE

IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-03-27 DOI:10.1109/taes.2025.3552548

Chen Chen, Chengxin Sun, Huimin Li, Fan Jin, Qingqi Pei, Shaohua Wan

引用次数: 0

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ST-GAGCN-LEO：用于低轨卫星交通预测的时空图注意和门控卷积网络

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Aerospace and Electronic Systems 工程技术-电信学

CiteScore

7.80

自引率

13.60%

发文量

433

审稿时长

8.7 months

期刊介绍： IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.